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» Formulas for approximating pseudo-Boolean random variables
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DAM
2008
102views more  DAM 2008»
13 years 9 months ago
Formulas for approximating pseudo-Boolean random variables
We consider {0, 1}n as a sample space with a probability measure on it, thus making pseudo-Boolean functions into random variables. We then derive explicit formulas for approximat...
Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. ...
JACIII
2007
99views more  JACIII 2007»
13 years 9 months ago
Asymptotic Behavior of Linear Approximations of Pseudo-Boolean Functions
We study the problem of approximating pseudoBoolean functions by linear pseudo-Boolean functions. Pseudo-Boolean functions generalize ordinary Boolean functions by allowing the fu...
Guoli Ding, Robert F. Lax, Peter P. Chen, Jianhua ...
CORR
2006
Springer
123views Education» more  CORR 2006»
13 years 9 months ago
Counting good truth assignments of random k-SAT formulae
We present a deterministic approximation algorithm to compute logarithm of the number of `good' truth assignments for a random k-satisfiability (k-SAT) formula in polynomial ...
Andrea Montanari, Devavrat Shah
VTC
2008
IEEE
125views Communications» more  VTC 2008»
14 years 4 months ago
A General Formula for Log-MGF Computation: Application to the Approximation of Log-Normal Power Sum via Pearson Type IV Distribu
Abstract— In [1], we have recently proposed a general approach for approximating the power sum of Log–Normal Random Variables (RVs) by using the Pearson system of distributions...
Marco Di Renzo, Fabio Graziosi, Fortunato Santucci
DAGSTUHL
2004
13 years 11 months ago
On the Complexity of Parabolic Initial Value Problems with Variable Drift
We study the intrinsic difficulty of solving linear parabolic initial value problems numerically at a single point. We present a worst case analysis for deterministic as well as fo...
Knut Petras, Klaus Ritter